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Kukai-7/README.md

Hi there, I'm Elisée

Data & corporate finance, between Europe and China. Humanities first, data second.

LinkedIn Hugging Face Focus: Europe x China

I studied History before I studied finance, and it shows: I like data that tells a story someone can act on.

I'm doing an MSc in Data & Corporate Finance at Audencia and I help RootClean AI, an early-stage AI startup, open its European market. Before that, China: sales and sourcing for an electronics trader in Shenzhen, from the Canton Fair to supplier negotiations; a semester of finance at Shenzhen University; AI market intelligence in Nanjing; and cost control inside a Dongguan factory, reporting to the CFO.

À cœur vaillant rien d'impossible


Experience

Role When Where
RootClean AI GTM Lead EMEA (early-stage startup, small founding team) Oct 2026 → now New York · Europe
Easy Factory Cost Controlling Intern, Finance (reporting to the CFO) May → Sept 2026 Dongguan, China
Shenzhen University × SAFTI Exchange semester, Master in Finance Fall 2025 Shenzhen, China
AirNet Corporate Strategy Intern, AI & Market Intelligence June → Sept 2025 Nanjing, China
E-Ran Technology Overseas Sales & Sourcing Intern July 2024 → Jan 2025 Shenzhen, China
ENGIE Credit & Collection Analyst, ENGIE portfolio (via EOS France) Mar → June 2024 France
Audencia Grande École Programme · MSc Data & Corporate Finance Current France

Featured work

Every project states its question, its sources and its limits up front.

Data & finance

Project What it shows Open
Industrial Data Valuation Ranking the value of industrial data as an intangible asset: 17 compliance criteria, cost, market and income approaches, Monte Carlo and AHP, on an anonymised case with hypothetical figures. Relative ranking, not a price Page · Code · Data · Demo
Drivers of the Nikkei 225 250 monthly observations: the yen and the S&P 500 explain about 64% of monthly moves; oil only matters after March 2026; the final factor model reaches an adjusted R² of 0.91 Code
BoJ Tone Tracker A RoBERTa classifier reads 133 Bank of Japan statements since 2013, sentence by sentence, and sets the tone index against the Nikkei 225, in the browser Demo
Pharma Sales & P&L Dashboard Three-page Power BI report: executive P&L with waterfall, products, regions, on a star schema with a DAX measures table Code
Manufacturing Cost Analytics BOM automation, purchasing price trends, standard costing and tooling analytics from the factory floor, shown on synthetic data (originals under NDA) Code

China's data economy today

Project What it shows Open
China's Data Elements How data became a factor of production, 2015 to 2026, and the road to 2030: 52 ZB produced in 2025, a 6.78 trillion yuan data industry, and the official targets to 2035 Data · Code
China, AI and Manufacturing China installed 59% of the world's industrial robots in 2025; R&D in all 31 provinces; the Hangzhou, Shenzhen and Beijing clusters Data · Code
Greater Bay Area Networks Eleven cities, 14.8 trillion yuan: ports, airports, bridges, research, companies and financial links around the Pearl River estuary Data · Code

Economic history in data

Project What it shows Open
Ming Crisis Atlas 111,623 disaster events from local gazetteers, 1368 to 1644, mapped to 1,397 places; no simple El Niño signal, a negative result kept in the card Data · Code
Edo Rice, Paper and Protest Rice prices jump about 17% above trend in famine years, but thirty of fifty notable uprisings were about taxes, five about rice Data · Code
Silver Road: Potosí to Ming China Registered silver rises from 30 to 180 tonnes a year, then declines slowly; famine follows drought rather than silver Data · Code
China under Deng Money, growth and opening, 1978 to 1997: 21 World Bank series against the decades before and against India, Japan and the United States Data · Code
France 1980 to 2026 Twenty-three governments next to debt, deficits, growth, unemployment, pensions and the nuclear fleet; descriptive, not partisan Data · Code

Industrial Data Valuation China's Data Elements, road to 2030 Ming Crisis Atlas


Side projects

Project What
東海道 · Tōkaidō, the Journey A cinematic walk along the Tōkaidō, from Edo to Naniwa, through Hiroshige's prints, on a map traced on Japan's real coastline Play · Code · Dataset
月百姿 · One Hundred Aspects of the Moon An online exhibition of Yoshitoshi's last great series: for each print, its story, its hero's voice and a darker counter-tale Open · Code
Ishibumi Location-based explorer of forgotten writers in Kyoto and Osaka Coming soon

Built in vanilla JavaScript, written in French. This is where my history side meets code.


History, my other dataset

Edo Japan, the Genroku era above all: Osaka merchants, the floating world and the novels of Ihara Saikaku. Song and Ming China: paper money, maritime trade, porcelain and the long fall of the Ming. Medieval travellers: Marco Polo, William of Rubruck, John of Plano Carpini, John of Montecorvino, Ibn Battuta.

Questions still open: how busy were the great ports of the 13th century? Ship counts at Calicut and Guangzhou, from travellers' accounts and port records.


Tools

Python Pandas Jupyter Power BI Excel / VBA SQL R Bloomberg Terminal JavaScript Git Hugging Face Claude Cursor

Off the clock

Drawing · ukiyo-e prints, Hiroshige and Hokusai · books, in whatever language I can manage · Rome, the Punic Wars and Cicero · kendo and rock climbing

French (native) · English (fluent) · Spanish (fluent) · Mandarin (intermediate) · Japanese (beginner) · Latin

Fluent in Spanish, and yet I've probably spent more hours with Cicero. He never ordered tapas.

温故知新 · learn the new by revisiting the old

Pinned Loading

  1. hundred-aspects-of-the-moon hundred-aspects-of-the-moon Public

    A small online exhibition of Yoshitoshi's One Hundred Aspects of the Moon, the last great ukiyo-e series

    HTML

  2. manufacturing-cost-analytics manufacturing-cost-analytics Public

    Cost controlling methods for manufacturing: BOM automation, purchasing price trends, standard costing (synthetic data)

  3. nikkei-225-drivers nikkei-225-drivers Public

    Econometric model of what drives the Nikkei 225 (monthly OLS, Python + Excel)

    Jupyter Notebook

  4. pharma-sales-dashboard pharma-sales-dashboard Public

    Power BI report on a pharma distributor: executive P&L, product and regional performance on a star schema

  5. tokaido tokaido Public

    Walk the Tōkaidō through Hiroshige's prints: an interactive map of the 53 stations, playable in the browser

    HTML

  6. ming-crisis-atlas ming-crisis-atlas Public

    Ming dynasty disasters, 1368 to 1644, county by county. Pipeline behind the Hugging Face dataset.

    Python